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127
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JMLR
2010
113views more  JMLR 2010»
14 years 10 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
153
Voted
CGI
2009
IEEE
15 years 7 months ago
Visual analytics of time dependent 2D point clouds
Two dimensional point data can be considered one of the most basic, yet one of the most ubiquitous data types arising in a wide variety of applications. The basic scatter plot app...
Tatiana von Landesberger, Sebastian Bremm, Peyman ...
153
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CVPR
2007
IEEE
16 years 6 months ago
Incorporating On-demand Stereo for Real Time Recognition
A new method for localising and recognising hand poses and objects in real-time is presented. This problem is important in vision-driven applications where it is natural for a use...
Thomas Deselaers, Antonio Criminisi, John M. Winn,...
131
Voted
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
16 years 4 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana
225
Voted
FCCM
2003
IEEE
113views VLSI» more  FCCM 2003»
15 years 9 months ago
Issues and Approaches to Coarse-Grain Reconfigurable Architecture Development
Although domain-specialized FPGAs can offer significant area, speed and power improvements over conventional reconfigurable devices, there are several unique and unexplored design...
Kenneth Eguro, Scott Hauck